1 repo
Techniques for identifying nearest neighbors using distance metrics.
Distinguishing note: Focuses on the core similarity search capability.
Explore 1 awesome GitHub repository matching data & databases · Vector Similarity Search. Refine with filters or upvote what's useful.
This project is a high-performance library designed for the similarity search and clustering of dense vectors across massive datasets. It functions as a vector similarity search engine, providing the necessary tools to organize complex numerical data into specialized structures that facilitate rapid retrieval and efficient querying of millions of records. The library distinguishes itself through a variety of advanced indexing and compression techniques, including hierarchical navigable small worlds for logarithmic time complexity and inverted file indexing to partition vector spaces into mana
Enables identifying nearest neighbors in large datasets using distance metrics like Euclidean or inner product for fast and accurate results.